The Gazelle.ai platform was built by an in-house multi-disciplinary team, including PhD-level physicists, economists, mathematicians, data scientists and software engineers. It grew out of our desire to find a way to enhance the methods used to identify early-stage signals for growth and corporate expansion.
We trained proprietary algorithms to flag companies as they grow their workforce, change their product mix, office locations, senior executives and staff recruitment patterns. We also incorporated big data related to export flows, historical investment and corporate expansion.
Forging a working relationship with the most powerful economics data providers, we identified high-growth sectors and where they are located. We married this data to specific companies in regions that out-perform industry-wide growth averages.
All of this was applied to a rigorous two-year R&D approach.